AHA-BUCH

Self-organizing Coalitions for Managing Complexity

Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications
 Book
Sofort lieferbar | Lieferzeit:3-5 Tage I

160,49 €*

Alle Preise inkl. MwSt. | zzgl. Versand
ISBN-13:
9783319698960
Einband:
Book
Erscheinungsdatum:
13.03.2018
Seiten:
343
Autor:
Juan C. Burguillo
Gewicht:
693 g
Format:
241x161x27 mm
Serie:
29, Emergence, Complexity and Computation
Sprache:
Englisch
Beschreibung:

This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book.In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master's students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
Introduction.- Complex Systems.- Complex Networks.- Cellular Automata.- Multi-agent Systems.- Self-Organization.- Game Theory.- Optimization Models with Coalitional Cellular Automata.- Time Series Prediction using Coalitions and Self-Organizing Maps.
This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book.
In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master's students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.